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Agriculture
Special Issues
Agri-Food Processing, Production and Quality Analysis
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Agri-Food Processing, Production and Quality Analysis

A special issue of Agriculture (ISSN 2077-0472). This special issue belongs to the section "Agricultural Technology".

Deadline for manuscript submissions: closed (20 January 2023) | Viewed by 6074

Special Issue Editor

Dr. Joanna Miedzianka

E-Mail Website
Guest Editor
Faculty of Biotechnology and Food Sciences, Wrocław University of Environmental and Life Sciences, Wrocław, Poland
Interests: chemical composition; plant-based protein; functional properties; chemical modification; amino acid profile

Special Issue Information

Dear Colleagues,

The agri-food industry is one of the most important and fastest growing areas in the global economy. The development of production, integration, and progressively expanding globalization represent new opportunities, but also threats that may both help the industry to grow and affect it negatively. We invite scientific papers from around the world that investigate the processing, production, and quality analysis of major and new crop products, as well as their agricultural technology and quality analysis. This Special Issue concentrates on the importance of the factors influencing the processing and production of agri-foods in determining their quality, which has become a distinctive and vital aspect for all types of such products. Today, for agri-food producers, quality assurance is an essential process throughout the entire food chain, from the supplier of raw materials to the consumer. This issue will include interdisciplinary studies related to agricultural products that may involve their technology, processing, and analysis determining their quality. All types of articles, such as original research articles and reviews, are welcome.

Dr. Joanna Miedzianka
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Agriculture is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • agricultural products
  • quality evaluation
  • functional food products
  • food processing
  • horticulture and plant science

Published Papers (3 papers)

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Research

17 pages, 4086 KiB  
Article
Determination Method of Core Parameters for the Mechanical Classification Simulation of Thin-Skinned Walnuts
by Yang Jiang, Yurong Tang, Wen Li, Yong Zeng, Xiaolong Li, Yang Liu and Hong Zhang
Agriculture 2023, 13(1), 104; https://doi.org/10.3390/agriculture13010104 - 29 Dec 2022
Cited by 1 | Viewed by 1585
Abstract
Simulation can be used to visualize the mechanical classification of walnuts. It can collect microscopic information about walnuts in the classification roller and guide its optimization design. In this process, simulation parameters are essential factors that ensure the effectiveness of the simulation. In [...] Read more.
Simulation can be used to visualize the mechanical classification of walnuts. It can collect microscopic information about walnuts in the classification roller and guide its optimization design. In this process, simulation parameters are essential factors that ensure the effectiveness of the simulation. In this study, the crucial parameters of thin-skinned walnut particles in classification simulation were determined by combining the discrete element method (DEM) and physical tests. Firstly, the moisture content, shear modulus, stacking angle, and some contact parameters in the shell and kernel were obtained by drying test, compression test, cylinder lifting test, and physical test of contact parameters, respectively. A walnut model was constructed using reverse modeling technology. Then, the ranges of the rest contact parameters were determined using simulation inversion based on the Generic EDEM Material Model database. Second, the parameters significantly influencing the stacking angle were screened via the Plackett–Burman test using contact parameters as factors and stacking angle as the index. The results revealed that the walnut–walnut static friction coefficient, walnut–walnut rolling friction coefficient, and walnut–steel plate static friction coefficient significantly affect the stacking angle. The steepest ascent experiment produced the optimal value intervals of crucial parameters. Besides, a quadratic regression model of important parameters was built using the Box–Behnken test to achieve the optimal parameter combination. The stacking and classification experiments verified that the stacking angle and morphology are mostly similar under calibration parameters without any considerable differences. The relative error was only 0.068%. Notably, the relative error of the average staying time of walnut in the classification roller was 0.671%, and the dimensionless distribution curves of stay time were consistent. This study provides technological support to the simulation analysis of walnut classification and recommends novel methods and references to determine the parameters of other shell materials. Full article
(This article belongs to the Special Issue Agri-Food Processing, Production and Quality Analysis)
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13 pages, 1220 KiB  
Article
Comprehensive Evaluation of Paddy Quality by Different Drying Methods, Based on Gray Relational Analysis
by Na Zhang, Wenfu Wu, Shuyao Li, Yujia Wang, Yunzhao Ma, Xianmei Meng and Yaqiu Zhang
Agriculture 2022, 12(11), 1857; https://doi.org/10.3390/agriculture12111857 - 5 Nov 2022
Cited by 2 | Viewed by 2347
Abstract
If paddy is not dried in time after harvesting, it very easily becomes moldy, which causes substantial losses. Inappropriate drying methods also affect the quality and safety of paddy when it enters the drying process. In order to select the optimal drying method, [...] Read more.
If paddy is not dried in time after harvesting, it very easily becomes moldy, which causes substantial losses. Inappropriate drying methods also affect the quality and safety of paddy when it enters the drying process. In order to select the optimal drying method, paddy with different moisture content was treated with sun drying, mechanical drying, and late harvesting, and the quality indexes of paddy were tested for safe moisture content. The effects of different drying methods on the quality of paddy were analyzed in terms of burst rate, taste value, appearance quality, and pasting characteristics. A paddy quality index system was constructed, and gray relational analysis (GRA) was used to evaluate comprehensively the paddy quality. The results showed that when the moisture content of paddy was 24.4%, the best quality of paddy was obtained after mechanical drying, when the gray relational degree was 0.996. Timely harvesting and mechanical drying can not only reduce the loss of paddy, but can also ensure the quality and safety of paddy. Full article
(This article belongs to the Special Issue Agri-Food Processing, Production and Quality Analysis)
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17 pages, 2775 KiB  
Article
Mathematical Modeling of Heat and Mass Transfer during Moisture–Heat Treatment of Castor Beans to Improve the Quality of Vegetable Oil
by Natalia Sorokova, Vladimir Didur and Miroslav Variny
Agriculture 2022, 12(9), 1356; https://doi.org/10.3390/agriculture12091356 - 1 Sep 2022
Cited by 5 | Viewed by 1585
Abstract
An important process in the technology of plant oil production by mechanical pressing is the wet–heat treatment of crushed oilseeds, in which the oilseed (compressed seed) is exposed to saturated vapor and a conductive heat supply. Optimal mode selection of wet–heat treatment based [...] Read more.
An important process in the technology of plant oil production by mechanical pressing is the wet–heat treatment of crushed oilseeds, in which the oilseed (compressed seed) is exposed to saturated vapor and a conductive heat supply. Optimal mode selection of wet–heat treatment based on a detailed study of the physical processes taking place in the compressed seed increases oil release, improves its quality indicators, and decreases energy consumption. Mathematical modeling is an advanced method for studying the dynamics of humidification and frying in the compressed seed. The article introduces a mathematical model and a numerical method for calculating heat-and-mass transformation and phase conversion in the process of the humidification and frying of compressed seeds of the castor plant in a continuous multi-stage heating kettle. This study provides equations for calculating the intensity of phase transformation on the inner and outer surfaces of the wet layer. Data verification indicates the adequacy of the mathematical model, effectiveness of the numerical method, and possibility of their use in optimizing the modes of wet–heat treatment for compressed seed raw material. Full article
(This article belongs to the Special Issue Agri-Food Processing, Production and Quality Analysis)
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